Job Overview
Location
South Korea
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
February 26, 2026
Full Job Description
đź“‹ Description
- • Join XBOW Systems Inc. and be at the forefront of building the future of offensive security. In an era where attackers are leveraging Artificial Intelligence to outpace defenders, XBOW is developing a revolutionary AI-powered platform designed to give security teams a decisive edge. Our system autonomously discovers, validates, and exploits vulnerabilities, delivering proof-backed results in a fraction of the time traditional methods require, transforming security operations from weeks to hours.
- • Founded by Oege de Moor, the visionary behind GitHub Copilot, and supported by premier investors like Sequoia and Altimeter, XBOW is applying state-of-the-art AI to address one of the most critical global challenges. In just over a year, our AI, engineered by a world-class team of AI specialists and legendary security researchers, has identified thousands of zero-day vulnerabilities in widely used software, achieving the #1 ranking on HackerOne's global leaderboard. This success underscores our commitment to pushing the boundaries of what's possible in AI and cybersecurity.
- • As an AI Research Engineer, you will play a pivotal role in advancing the intelligence that powers our platform. This position demands deep expertise in Large Language Model (LLM) prompting, orchestration, and robust software engineering. You will be instrumental in designing and implementing sophisticated systems that enable seamless coordination between LLMs and real-world operational tasks. Your work will directly contribute to enhancing the capabilities and efficiency of our AI-driven security solutions.
- • You will collaborate closely with our dedicated AI, Engineering, and Security teams. This cross-functional synergy is crucial for developing innovative prompting strategies, constructing advanced orchestration layers, and delivering production-ready systems primarily using TypeScript. The ideal candidate thrives in a dynamic, research-intensive environment, demonstrating a passion for transforming abstract concepts into tangible, scalable, and reliable software solutions.
- • Your core responsibilities will involve building highly effective LLM-powered software. This includes meticulously designing prompt flows and orchestration mechanisms to ensure optimal performance and minimize false positives, thereby guaranteeing the accuracy and reliability of our security findings. You will architect and develop a production-grade AI software stack that is not only robust and scalable but also maintainable and thoroughly testable, adhering to the highest software engineering standards.
- • Furthermore, you will be responsible for designing and implementing comprehensive experiment and evaluation frameworks to rigorously assess system performance at scale. This involves conducting in-depth data analysis to derive actionable insights and drive continuous improvement. Your collaborative efforts with AI researchers, security experts, and both frontend and backend developers will be key to creating seamless, end-to-end systems that delight our customers and deliver exceptional value.
- • You will have the unique opportunity to own projects from inception through to deployment and ongoing production monitoring. This end-to-end ownership fosters a deep understanding of the product lifecycle and empowers you to make significant contributions at every stage. A critical aspect of this role involves continuous research into the latest advancements in LLMs, actively exploring and integrating new techniques to enhance the speed and effectiveness of our system.
- • This role is designed for individuals who are driven by intellectual curiosity, possess a strong problem-solving aptitude, and are eager to make a tangible impact. You will be working in an energetic atmosphere that balances the agile prioritization inherent in a startup with the deep-dive curiosity characteristic of a research laboratory. If you are excited by the prospect of tackling technically complex challenges, shaping the future of cybersecurity, and joining a team of world-class experts, we encourage you to apply.
🎯 Requirements
- • Strong experience in building software around LLMs, including prompting, agentic orchestration, fault-tolerance, and integrating LLM components with traditional logic.
- • Proven software engineering skills in architecting and building production-grade, reliable, and maintainable software systems.
- • Proficiency in TypeScript or a demonstrated ability to quickly learn new programming languages.
- • Excellent structured and independent problem-solving abilities, with a capacity to operate effectively with incomplete information and rapidly test hypotheses.
- • MSc or equivalent degree in Computer Science, Mathematics, Physics, or Machine Learning.
- • Fluency in both English and Korean (written and verbal).
🏖️ Benefits
- • Competitive salary and a generous equity package, offering true ownership in the company's success.
- • Significant opportunities for career growth, including the ability to shape your role and potentially lead the function as the company expands.
- • Engage in meaningful work that tackles complex technical challenges and plays a pivotal role in advancing AI in cybersecurity, alongside a talented team of experts.
Skills & Technologies
TypeScript
React
GitHub
REST
Remote
About X-Bow Systems Inc.
X-Bow Systems is an American aerospace and defense company specializing in solid-propellant rocket motors, energetics, and additive manufacturing technologies. Founded in 2016 and headquartered in Albuquerque, New Mexico, the company serves defense, space launch, and commercial markets with scalable launch vehicles, modular motors, and advanced materials. X-Bow operates production facilities across the United States and focuses on rapid development cycles and cost-effective solutions for national security and commercial satellite deployment needs.
